Recent Trends in Computer-aided Drug Design for Anti-cancer Drug Discovery.

Cancer is considered one of the deadliest diseases globally, and continuous research is being carried out to find novel potential therapies for myriad cancer types that affect the human body. Researchers are hunting for innovative remedies to minimize the toxic effects of conventional therapies being driven by cancer, which is emerging as pivotal causes of mortality worldwide. Cancer progression steers the formation of heterogeneous behavior, including self-sustaining proliferation, malignancy, and evasion of apoptosis, tissue invasion, and metastasis of cells inside the tumor with distinct molecular features. The complexity of cancer therapeutics demands advanced approaches to comprehend the underlying mechanisms and potential therapies. Precision medicine and cancer therapies both rely on drug discovery. In vitro drug screening and in vivo animal trials are the mainstays of traditional approaches for drug development; however, both techniques are laborious and expensive. Omics data explosion in the last decade has made it possible to discover efficient anti-cancer drugs via computational drug discovery approaches. Computational techniques such as computer-aided drug design have become an essential drug discovery tool and a keystone for novel drug development methods. In this review, we seek to provide an overview of computational drug discovery procedures comprising the target sites prediction, drug discovery based on structure and ligand-based design, quantitative structure-activity relationship (QSAR), molecular docking calculations, and molecular dynamics simulations with a focus on cancer therapeutics. The applications of artificial intelligence, databases, and computational tools in drug discovery procedures, as well as successfully computationally designed drugs, have been discussed to highlight the significance and recent trends in drug discovery against cancer. The current review describes the advanced computer-aided drug design methods that would be helpful in the designing of novel cancer therapies.

Elucidation of novel compounds and epitope-based peptide vaccine design against C30 endopeptidase regions of SARS-CoV-2 using immunoinformatics approaches.

There has been progressive improvement in immunoinformatics approaches for epitope-based peptide design. Computational-based immune-informatics approaches were applied to identify the epitopes of SARS-CoV-2 to develop vaccines. The accessibility of the SARS-CoV-2 protein surface was analyzed, and hexa-peptide sequences (KTPKYK) were observed having a maximum score of 8.254, located between amino acids 97 and 102, whereas the FSVLAC at amino acids 112 to 117 showed the lowest score of 0.114. The surface flexibility of the target protein ranged from 0.864 to 1.099 having amino acid ranges of 159 to 165 and 118 to 124, respectively, harboring the FCYMHHM and YNGSPSG hepta-peptide sequences. The surface flexibility was predicted, and a 0.864 score was observed from amino acids 159 to 165 with the hepta-peptide (FCYMHHM) sequence. Moreover, the highest score of 1.099 was observed between amino acids 118 and 124 against YNGSPSG. B-cell epitopes and cytotoxic T-lymphocyte (CTL) epitopes were also identified against SARS-CoV-2. In molecular docking analyses, -0.54 to -26.21 kcal/mol global energy was observed against the selected CTL epitopes, exhibiting binding solid energies of -3.33 to -26.36 kcal/mol. Based on optimization, eight epitopes (SEDMLNPNY, GSVGFNIDY, LLEDEFTPF, DYDCVSFCY, GTDLEGNFY, QTFSVLACY, TVNVLAWLY, and TANPKTPKY) showed reliable findings. The study calculated the associated HLA alleles with MHC-I and MHC-II and found that MHC-I epitopes had higher population coverage (0.9019% and 0.5639%) than MHC-II epitopes, which ranged from 58.49% to 34.71% in Italy and China, respectively. The CTL epitopes were docked with antigenic sites and analyzed with MHC-I HLA protein. In addition, virtual screening was conducted using the ZINC database library, which contained 3,447 compounds. The 10 top-ranked scrutinized molecules (ZINC222731806, ZINC077293241, ZINC014880001, ZINC003830427, ZINC030731133, ZINC003932831, ZINC003816514, ZINC004245650, ZINC000057255, and ZINC011592639) exhibited the least binding energy (-8.8 to -7.5 kcal/mol). The molecular dynamics (MD) and immune simulation data suggest that these epitopes could be used to design an effective SARS-CoV-2 vaccine in the form of a peptide-based vaccine. Our identified CTL epitopes have the potential to inhibit SARS-CoV-2 replication.

Epitope-based peptide vaccine design and elucidation of novel compounds against 3C like protein of SARS-CoV-2.

Coronaviruses (CoVs) are positive-stranded RNA viruses with short clubs on their edges. CoVs are pathogenic viruses that infect several animals and plant organisms, as well as humans (lethal respiratory dysfunctions). A noval strain of CoV has been reported and named as SARS-CoV-2. Numerous COVID-19 cases were being reported all over the World. COVID-19 and has a high mortality rate. In the present study, immunoinformatics techniques were utilized to predict the antigenic epitopes against 3C like protein. B-cell epitopes and Cytotoxic T-lymphocyte (CTL) were designed computationally against SARS-CoV-2. Multiple Sequence Alignment (MSA) of seven complete strains (HCoV-229E, HCoV-NL63, HCoV-OC43, HCoV-HKU1, SARS-CoV, MERS-CoV, and SARS-CoV-2) was performed to elucidate the binding domain and interacting residues. MHC-I binding epitopes were evaluated by analyzing the binding affinity of the top-ranked peptides having HLA molecule. By utilizing the docked complexes of CTL epitopes with antigenic sites, the binding relationship and affinity of top-ranked predicted peptides with the MHC-I HLA protein were investigated. The molecular docking analyses were conducted on the ZINC database library and twelve compounds having least binding energy were scrutinized. In conclusion, twelve CTL epitopes (GTDLEGNFY, TVNVLAWLY, GSVGFNIDY, SEDMLNPNY, LSQTGIAV, VLDMCASLK, LTQDHVDIL, TTLNDFNLV, CTSEDMLNP, TTITVNVLA, YNGSPSGVY, and SMQNCVLKL) were identified against SARS-CoV-2.

The multifaceted regulation of mitophagy by endogenous metabolites.

Owing to the dominant functions of mitochondria in multiple cellular metabolisms and distinct types of regulated cell death, maintaining a functional mitochondrial network is fundamental for the cellular homeostasis and body fitness in response to physiological adaptations and stressed conditions. The process of mitophagy, in which the dysfunctional or superfluous mitochondria are selectively engulfed by autophagosome and subsequently degraded in lysosome, has been well formulated as one of the major mechanisms for mitochondrial quality control. To date, the PINK1-PRKN-dependent and receptors (including proteins and lipids)-dependent pathways have been characterized to determine the mitophagy in mammalian cells. The mitophagy is highly responsive to the dynamics of endogenous metabolites, including iron-, calcium-, glycolysis-TCA-, NAD+-, amino acids-, fatty acids-, and cAMP-associated metabolites. Herein, we summarize the recent advances toward the molecular details of mitophagy regulation in mammalian cells. We also highlight the key regulations of mammalian mitophagy by endogenous metabolites, shed new light on the bidirectional interplay between mitophagy and cellular metabolisms, with attempting to provide a perspective insight into the nutritional intervention of metabolic disorders with mitophagy deficit.Abbreviations: acetyl-CoA: acetyl-coenzyme A; ACO1: aconitase 1; ADCYs: adenylate cyclases; AMPK: AMP-activated protein kinase; ATM: ATM serine/threonine kinase; BCL2L1: BCL2 like 1; BCL2L13: BCL2 like 13; BNIP3: BCL2 interacting protein 3; BNIP3L: BCL2 interacting protein 3 like; Ca2+: calcium ion; CALCOCO2: calcium binding and coiled-coil domain 2; CANX: calnexin; CO: carbon monoxide; CYCS: cytochrome c, somatic; DFP: deferiprone; DNM1L: dynamin 1 like; ER: endoplasmic reticulum; FKBP8: FKBP prolyl isomerase 8; FOXO3: forkhead box O3; FTMT: ferritin mitochondrial; FUNDC1: FUN14 domain containing 1; GABA: γ-aminobutyric acid; GSH: glutathione; HIF1A: hypoxia inducible factor 1 subunit alpha; IMMT: inner membrane mitochondrial protein; IRP1: iron regulatory protein 1; ISC: iron-sulfur cluster; ITPR2: inositol 1,4,5-trisphosphate type 2 receptor; KMO: kynurenine 3-monooxygenase; LIR: LC3 interacting region; MAM: mitochondria-associated membrane; MAP1LC3: microtubule associated protein 1 light chain 3; MFNs: mitofusins; mitophagy: mitochondrial autophagy; mPTP: mitochondrial permeability transition pore; MTOR: mechanistic target of rapamycin kinase; NAD+: nicotinamide adenine dinucleotide; NAM: nicotinamide; NMN: nicotinamide mononucleotide; NO: nitric oxide; NPA: Niemann-Pick type A; NR: nicotinamide riboside; NR4A1: nuclear receptor subfamily 4 group A member 1; NRF1: nuclear respiratory factor 1; OPA1: OPA1 mitochondrial dynamin like GTPase; OPTN: optineurin; PARL: presenilin associated rhomboid like; PARPs: poly(ADP-ribose) polymerases; PC: phosphatidylcholine; PHB2: prohibitin 2; PINK1: PTEN induced kinase 1; PPARG: peroxisome proliferator activated receptor gamma; PPARGC1A: PPARG coactivator 1 alpha; PRKA: protein kinase AMP-activated; PRKDC: protein kinase, DNA-activated, catalytic subunit; PRKN: parkin RBR E3 ubiquitin protein ligase; RHOT: ras homolog family member T; ROS: reactive oxygen species; SIRTs: sirtuins; STK11: serine/threonine kinase 11; TCA: tricarboxylic acid; TP53: tumor protein p53; ULK1: unc-51 like autophagy activating kinase 1; VDAC1: voltage dependent anion channel 1.

Anti-aging Natural Compounds and their Role in the Regulation of Metabolic Pathways Leading to Longevity.

Aging is an unavoidable process, leading to cell senescence due to physiochemical changes in an organism. Anti-aging remedies have always been of great interest since ancient times. The purpose of anti-aging activities is to increase the life span and the quality of life. Anti-aging activities are primarily involved in the therapies of age-related disorders such as Parkinson's Disease (PD), Alzheimer's Disease (AD), cardiovascular diseases, cancer, and chronic obstructive pulmonary diseases. These diseases are triggered by multiple factors that are involved in numerous molecular pathways including telomere shortening, NF-κB pathway, adiponectin receptor pathway, insulin, and IGF signaling pathway, AMPK, mTOR, and mitochondria dysfunction. Natural products are known as effective molecules to delay the aging process through influencing metabolic pathways and thus ensure an extended lifespan. These natural compounds are being utilized in drug design and development through computational and high throughput techniques for effective pro-longevity drugs. A comprehensive study on natural compounds demonstrating their anti-aging activities along with databases of natural products for drug designing was executed and summarized in this review article.

Ligand-Based Pharmacophore Modeling and Virtual Screening to Discover Novel CYP1A1 Inhibitors.

Backgound: Cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1) is an imperative enzyme due to its immersion in the biotransformation of a wide range of drugs and other xenobiotics. The involvement of enzymes in drug metabolism indicates an effective drug target for the development of novel therapeutics. The discovery of CYP1A1 specific inhibitors would be of particular relevance for the clinical pharmacology. METHODS: In the current work, in silico approaches were utilized to identify the novel potential compounds through a diverse set of reported inhibitors against CYP1A1. A dataset of reported compounds against CYP1 belongs to 10 different classes (alkaloids, coumarins, flavonoids, natural compounds, synthetic inhibitors, drugs, MBI's, PAHs, naphthoquinone and stilbenoids) was retrieved and utilized for the comparative molecular docking analyses followed by pharmacophore modeling. The total eleven novel compounds were scrutinized on the basis of the highest binding affinities and least binding energy values. RESULTS: ZINC08792486 compound attained the highest gold fitness score of 90.11 against CYP1A1 among all the scrutinized molecules. CONCLUSION: It has been elucidated that the residues Phe-224, Gly-316 and Ala-317 were conserved in all ligand-receptor interactions and critical for the development of effective therapies. The ADMET property analyses also predict better absorption and distribution of the selected hits that may be used in the future for in vitro validations and drug development.

STING directly activates autophagy to tune the innate immune response.

STING (stimulator of interferon genes) is a central molecule that binds to cyclic dinucleotides produced by the cyclic GMP-AMP synthase (cGAS) to activate innate immunity against microbial infection. Here we report that STING harbors classic LC-3 interacting regions (LIRs) and mediates autophagy through its direct interaction with LC3. We observed that poly(dA:dT), cGAMP, and HSV-1 induced STING-dependent autophagy and degradation of STING immediately after TBK1 activation. STING induces non-canonical autophagy that is dependent on ATG5, whereas other autophagy regulators such as Beclin1, Atg9a, ULK1, and p62 are dispensable. LIR mutants of STING abolished its interaction with LC3 and its activation of autophagy. Also, mutants that abolish STING dimerization and cGAMP-binding diminished the STING-LC3 interaction and subsequent autophagy, suggesting that STING activation is indispensable for autophagy induction. Our results thus uncover dual functions of STING in activating the immune response and autophagy, and suggest that STING is involved in ensuring a measured innate immune response.

Formulation and Characterization of a Self-Emulsifying Drug Delivery System (SEDDS) of Curcumin for the Topical Application in Cutaneous and Mucocutaneous Leishmaniasis.

BACKGROUND: Leishmaniasis, which is classified by the World Health Organization (WHO) as one of the Neglected Tropical Diseases (NTDs) faces several challenges in terms of successful chemotherapy and novel drug developments. OBJECTIVE: The aim of the present study was to develop a Self-Emulsifying Drug Delivery System (SEDDS) for the hydrophobic polyphenol pigment curcumin to enable it for its potential use in cutaneous and mucocutaneous leishmaniasis. METHODS: Two Curcumin-loaded formulations SNEDD-A and B, were developed. Both were characterized by the droplet size, PDI and zeta potential and evaluated for the cytotoxicity on Caco-2 cell lines and through hemolysis test on red blood cells. The spreading potential of the formulations was checked over buccal mucosa and damaged skin model. Antileishmanial activities were performed against promastigote, axenic amastigote and macrophage harbored amastigotes of Leishmania tropica parasite. RESULTS: SNEDDS-A and B had minor differences in physical characteristics. In the toxicological assay, the viability of the Caco-2 cells was 87.5 % for SNEDDS-A and 88.9% for SNEDDS-B while both caused 1-2% hemolysis. Both had remarkable spreading potential, covering 8cm2 of buccal mucosa and damaged the skin for less than 45 minutes. The Antileishmanial activities of the SNEDDS-A in terms of IC50 were 0.13 µg/ml and 0.25 µg/ml against promastigote and amastigote, respectively while IC50 values of SNEDDS-B were 0.18 µg/ml and 0.27 µg/ml against promastigote and amastigote, respectively. Both the formulations killed 100% of the macrophage harbored Leishmania tropica parasites at a concentration of 4.4 µg/ml. CONCLUSION: Our results demonstrate that both the SEDDS formulations of curcumin have the potential to provide a promising tool for curcumin for its use through topical routes in the treatment of cutaneous and mucocutaneous leishmaniasis.

Comparative in silico analyses of Cannabis sativa, Prunella vulgaris and Withania somnifera compounds elucidating the medicinal properties against rheumatoid arthritis.

From last decade, there has been progressive improvement in computational drug designing. Several diseases are being cured from different plant extracts and products. Rheumatoid Arthritis (RA) is the most shared disease among auto-inflammatory diseases. Tumour necrosis factor (TNF)-α is associated with RA pathway and has adverse effects. Extensive literature review showed that plant species under study (Cannabis sativa, Prunella vulgaris and Withania somnifera) possess anti-inflammatory, anti-arthritic and anti-rheumatic properties. 13 anti-inflammatory compounds were characterised and filtered out from medicinal plant species and analysed for RA by targeting TNF-α through in silico analyses. By using ligand based pharmacophore generation approach and virtual screening against natural products libraries we retrieved twenty unique molecules that displayed utmost binding affinity, least binding energies and effective drug properties. The docking analyses revealed that Ala-22, Glu-23, Ser-65, Gln-67, Tyr-141, Leu-142, Asp-143, Phe-144 and Ala-145 were critical interacting residues for receptor-ligand interactions. It is proposed that the RA patients should use reported compounds for the prescription of RA by targeting TNF-α. This report is opening new dimensions for designing innovative therapeutic targets to cure RA.

Comparative Modeling, Molecular Docking, and Revealing of Potential Binding Pockets of RASSF2; a Candidate Cancer Gene.

RASSF2, potential tumor suppressor gene, acts as a KRAS-specific effectors protein and may promote apoptosis and cell cycle arrest. It stabilizes STK3/MST2 by protecting it from proteasomal degradation. RASSF2 plays a significant role against the inhibition of cancer. MODELLER (9v15) and online servers (I-Tasser, SwissModel, 3D-JigSaw, ModWeb) were utilized to generate 3D structures of the RASSF2 based on homology modeling. A comparison between models predicted by MODELLER (9v15) and Web servers had been checked through utilized evaluation tools. The most potent model for RASSF2 was analyzed and selected for molecular docking studies. The binding pockets were revealed for binding studies through Site Hound. AutoDock Vina and AutoDock4 were utilized for molecular docking, and the attempt of this experiment was to identify the ligands for RASSF2. The selected compounds may act as regulators and regulate the normal activity of RASSF2. It was also analyzed and observed that the selected compounds showed least binding energy and high-affinity binding in predicted top binding domain. The determination of protein function is based on accurate identification of binding sites in protein structures. The binding site is known, and it may allow the ligand type and protein function to be determined by performing in silico and experimental procedures. The detection, comparison, and analysis of binding pockets are pivotal to drug discovery. It proposed that predicted structure is reliable for the structural insights and functional studies. The predicted binding pockets may lead to further analysis (drug discovery), used against cancer study.

Mitophagy receptors sense stress signals and couple mitochondrial dynamic machinery for mitochondrial quality control.

Mitochondria are essential organelles for many fundamental cellular processes, including energy production, fatty acid ß-oxidation, metabolite synthesis, iron and calcium homeostasis, and programmed cell death. Mitochondrial quality thus influences not only individual cell functions but also whole body metabolism. Dysregulated mitochondrial quality control is closely associated with the progression of aging related diseases, such as cancers and neurodegenerative disorders. Mitochondrial quality is monitored at the protein, organelle and sub-organelle levels. The critical issues are how stresses such as bioenergetic stress, oxidative stress and proteotoxic stress, are sensed and how the mitochondrial events are coordinated. Recently, several receptors were identified to mediate selective mitophagy, which is essential for mitochondrial quality control in yeast and mammalian cells. It is emerging that these receptors sense distinct stress signals and couple mitophagy machineries with mitochondrial fission/fusion machineries for mitochondrial quality control. Herein, we will review recent advances in receptors mediated mitophagy and mitochondrial dynamics for mitochondrial quality control, with attempt to have an integrative view on the molecular mechanisms for mitochondrial quality control.

Tumor necrosis factor receptor superfamily 10B (TNFRSF10B): an insight from structure modeling to virtual screening for designing drug against head and neck cancer.

BACKGROUND: Head and neck cancer (HNC) belongs to a group of heterogeneous disease with distinct patterns of behavior and presentation. TNFRSF10B, a tumor suppressor gene mapped on chromosome 8. Mutation in candidate gene is responsible for the loss of chromosome p arm which is frequently observed in head and neck tumors. TNFRSF10B inhibits tumor formation through apoptosis but deregulation encourages metastasis, migration and invasion of tumor cell tissues. RESULTS: Structural modeling was performed by employing MODELLER (9v10). A suitable template [2ZB9] was retrieved from protein databank with query coverage and sequence identity of 84% and 30% respectively. Predicted Model evaluation form Rampage revealed 93.2% residues in favoured region, 5.7% in allowed region while only 1 residue is in outlier region. ERRAT and ProSA demonstrated 51.85% overall quality with a -1.08 Z-score of predicted model. Molecular Evolutionary Genetics Analysis (MEGA 5) tool was executed to infer an evolutionary history of TNFRSF10B candidate gene. Orthologs and paralogs [TNFRSF10A & TNFRSF10D] protein sequences of TNFRSF10B gene were retrieved for developed ancestral relationship. Topology of tree presenting TNFRSF10A gene considered as outgroup. Human and gorilla shared more than 90% similarities with conserved amino acid sequence. Virtual screening approach was appliedfor identification of novel inhibitors. Library (Mcule) was screened for novel inhibitors and utilized the scrutinized lead compounds for protein ligand docking. Screened lead compounds were further investigated for molecular docking studies. STRING server was employed to explore protein-protein interactions of TNFRSF10B target protein. TNFSF10 protein showed highest 0.999 confidence score and selected protein-protein docking by utilizing GRAMM-X server. In-silico docking results revealed I-58, S-90 and A-62 as most active interacting residues of TNFRSF10B receptor protein with R-130, S-156 and R-130 of TNFSF10B ligand protein. CONCLUSION: Current research may provide a backbone for understanding structural and functional insights of TNFRSF10B protein. The designed novel inhibitors and predicted interactions might serve to inhibit the disease. Effective in-vitro potent ligands are required which will be helpful in future to design a drug to against Head and neck cancer disease. There is an urgent need for affective drug designing of head and neck cancer and computational tools for examining candidate genes more efficiently and accurately are required.